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SSD object detection algorithm based on knowledge map

International Journal of Wireless and Mobile Computing 2024年第2期27卷 152-160页

作者： Huang, Li Wang, Xiaofeng Lu, Jianhua Hu, Wei Zhang, Changrong College of Computer Science and Technology Wuhan University of Science and Technology Hubei Wuhan China China Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan University of Science and Technology Hubei Wuhan China Key Laboratory of Metallurgical Equipment and Control Technology of the Ministry of Education Wuhan University of Science and Technology Hubei Wuhan China Precision Manufacturing Research Institute Research Centre for Biomimetic Robot and Intelligent Measurement and Control Wuhan University of Science and Technology Hubei Wuhan China

With the pervasive integration of artificial intelligence into all aspects of human life, talent emerges as a primary resource. Upon analysing the current state of talent training in higher education institutions, issues such as dispersed knowledge points, overlapping content, a singular practice approach and ineffective evaluation have been identified. In response to these challenges, this paper proposes a multidisciplinary and comprehensive practical teaching methodology grounded in the knowledge graph framework. It delves into diverse paths for practical teaching and assessment, including aspects like teaching objectives, problem decomposition, resource integration, implementation methods and performance evaluation. The practical application of the SSD algorithm in researching service robot indoor object detection serves as an illustrative example. Employing the holistic practical teaching approach facilitated by the knowledge graph, this model guides students in acquiring object detection expertise, thereby enhancing their comprehensive development. Copyright © 2024 Inderscience Enterprises Ltd.

关键词： Object detection

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Simulation and Transfer of Physical image Features Based on Recurrent Generative Adversarial Networks

Simulation and Transfer of Physical Image Features Based on ...

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2024 china Automation Congress, CAC 2024

作者： Dong, Yongxiang Qiu, Chaochao Pan, Qinghui Wu, Feiyue Jiang, Juncheng Lian, Jie Wang, Dong Wang, Wei Key Laboratory of Intelligent Control and Optimization for Industrial Equipment Ministry of Education School of Control Science and Engineering Dalian University of Technology Dalian116024 China

ISBN: (纸本)9798350368604

Training machine learning models in virtual environments often fails to generalize effectively to real-world applications. The discrepancy between simulated and real environments results in suboptimal performance of the learned models. Various approaches have been proposed to address this"simulation-to-reality gap," including refining training images within simulations or randomizing virtual environments to narrow the disparity. A CycleGAN model is used to convert simulated images into real ones for correction, but this method remains task-agnostic and does not preserve task-specific information, which can negatively affect task performance. Critical features, particularly those directly related to the task, may be lost during translation, which can compromise task success. To address this issue, conditional information is introduced during the image transformation process to ensure that task-relevant features, such as location data, are retained. This method makes the transformation task-aware rather than task-agnostic. Additionally, skip connections are implemented to mitigate blurring in the generated images. The proposed method has been trained on a custom dataset from a laboratory environment and validated on a robotic arm. This approach significantly improves the accuracy of image conversion tasks and enhances the efficiency of sim-to-real image translation. © 2024 IEEE.

关键词： Generative adversarial networks

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Double random number encryption blind watermarking technique based on DWT-DCT domain

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Optoelectronics Letters 2024年第10期20卷 614-622页

作者： WANG Chenglong MA Yi WANG Xia National Engineering Research Center for Technology and Equipment of Environmental Deposition Lanzhou Jiaotong UniversityLanzhou730070China Key Laboratory of Opto-Technology and Intelligent Control Ministry of Education Lanzhou Jiaotong UniversityLanzhou730070China

Blind watermarking plays a significant role in copyright protection and information *** enhance the security of watermark image information,a dual encryption method is proposed,which combines block shuffling with Logistic chaos encryption using two sets of random numbers as *** dual encryption technique is applied to blind watermark images,utilizing a combination of discrete wavelet transform(DWT)and discrete cosine transform(DCT)as the embedding ***,the watermark image is divided into small blocks,which are shuffled and rearranged using one set of random numbers as the key,while recording the shuffling sequence of block ***,the shuffled blocks are reassembled into an image,and another set of random numbers is used as the key for Logistic chaos encryption,rendering the watermark image chaotically ***,a double DWT is applied to the carrier image,followed by a DCT,allowing the encrypted watermark image to be *** achieves the concealment of the blind *** results demonstrate that this method exhibits robustness,excellent invisibility,and secrecy.

关键词： random image DCT

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GPU-Based N-1 AC Power Flow with an Improved-Convergence Fast Decoupled Method Considering Memory Limitations in Large Power Grids

GPU-Based N-1 AC Power Flow with an Improved-Convergence Fas...

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2023 International Conference on Power System Technology, PowerCon 2023

作者： Meng, Xinyuan Yun, Zhihao Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Jinan China

ISBN: (纸本)9798350300222

The fast and random variation in large-scale power system operation caused by the integration of renewable energy brings challenges for the accuracy and real-time performance of N-1 security analysis (SSA). To meet the requirements., the N-l AC power flow calculation can be accelerated effectively by taking advantage of the powerful parallel ability of the GPU. The fast decoupled power flow method is suitable for GPU-based N-l AC power flow because of its high computational speed and smaller storage space requirements. To solve the problem that the number of iterations may increase dramatically in some heavy-load scenarios., an improved-convergence fast decoupled method is proposed that does not increase the storage occupation considering the memory limitations of the GPU. The effectiveness of the proposed method is verified on several large-scale test systems. The test results demonstrate that the performance of the method proposed in this paper is satisfactory for the online N-l SSA of large power grids. © 2023 IEEE.

关键词： Graphics processing unit

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Power System Load Restoration Based on Data-Driven Constraints Linearization Method 5

Power System Load Restoration Based on Data-Driven Constrain...

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5th International Conference on Power and Energy Technology, ICPET 2023

作者： Lv, Xiaoting Wang, Hongtao Fan, Xuemei Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China

ISBN: (纸本)9798350339673

In recent years, power outages have occurred frequently around the world, and rapid load recovery after power outages can reduce economic losses caused by power outages. In the restoration model, the power flow calculation is a nonlinear equality constraint. The idea based on mathematical optimization is to linearize the power flow equation based on certain assumptions or perform convex relaxation. Such processing may affect the solution accuracy or speed. Therefore, a data-driven constraints linearization method is proposed, using a large amount of simulation data to linearly fit the power flow through the partial least square method. Then, based on the linear constraints, the load restoration problem is established as a mixed integer linear programming (MILP) problem to reduce the difficulty of solving, improve calculation accuracy and provide dispatchers with optimal recovery decisions. Finally, the validity of the method proposed in this paper is verified in IEEE39 node system. © 2023 IEEE.

关键词： data-driven Load recovery partial least squares power flow calculation

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Optimizing Parameter Design with Frequency and Clock Drift Constraints in Microgrids∗ 63

Optimizing Parameter Design with Frequency and Clock Drift C...

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63rd IEEE Conference on Decision and control, CDC 2024

作者： Yu, Chang Lu, Xiaoqing Wuhan University of Science and Technology School of Information Science and Engineering Wuhan430081 China Huazhong University of Science and Technology Ministry of Education Key Laboratory of Image Processing and Intelligent Control Wuhan430074 China Wuhan University School of Electrical Engineering and Automation Wuhan430000 China

ISBN: (纸本)9798350316339

Microgrids subjected to secondary cooperative control encounter significant challenges, including operational constraints and clock drifts, adversely affecting their stability and efficiency. This paper provides conditions that assure optimal microgrid performance in both transient and steady-state scenarios, focusing on the effects of clock drifts and fluctuations in load. Furthermore, we introduce a novel approach for designing secondary control parameters, specifically engineered to minimize steady-state discrepancies attributable to clock drifts while ensuring adherence to standards for transient operations. Comprehensive experimental validations corroborate the effectiveness of our proposed solutions. © 2024 IEEE.

关键词： Microgrids

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ST-Petri: A Visual Executable Semantic Model for PLC Structured Text Language 22

ST-Petri: A Visual Executable Semantic Model for PLC Structu...

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22nd IEEE International Conference on Industrial Informatics, INDIN 2024

作者： Hu, Xiaoyu Liang, Yonghui Zhu, Shibo Li, Hui Zhu, Shanying Department of Automation Shanghai Jiao Tong University Shanghai 200240 China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai 200240 China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai 200240 China

ISBN: (纸本)9798331527471

As very important controllers in automated factories, the correctness and safety of Programmable Logic controller (PLC) and their programs determine the stability of the production process. Structured Text (ST) is one of the most widely used PLC programming languages. However, there are not enough formal semantics and different venders may have their own implementations. In this work, a visual executable semantic model ST-Petri for ST has been proposed. The model uses Petri nets to formally represent ST semantics while using graphs to visualise program control flow. To validate the correctness of the semantic model, we use programs from Github and mutations of existing source programs as a test set to execute and compare the results with the open source OpenPLC platform. Experimental results show that ST-Petri has significant advantages in terms of compilation pass rate and error indication as a semantic model and a ST program compiler. © 2024 IEEE.

关键词： Petri nets

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Energy-Efficient Safety-Aware Scheduling of Real-Time control Systems with Burst Tasks 22

Energy-Efficient Safety-Aware Scheduling of Real-Time Contro...

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22nd IEEE International Conference on Industrial Informatics, INDIN 2024

作者： Cheng, Ting Liang, Yonghui Xu, Qimin Zhu, Shanying Department of Automation Shanghai Jiao Tong University Shanghai 200240 China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai 200240 China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai 200240 China

ISBN: (纸本)9798331527471

In industrial sites, multiple real-time control systems often share computing resources. However, burst computing tasks may lead to the random dropping of control computing subtasks, resulting in control failures and potential hazards. To address this issue, we propose an energy-efficient safety-aware task scheduling scheme based on mixed-integer programming. When burst computing tasks are triggered, this scheduling scheme adaptively releases resources from low-criticality control computing subtasks and adjusts the processor speed based on the dynamic voltage and frequency scaling technology (DVFS), ensuring the timely completion of burst computing tasks and keeping the control system state deviation within a safe threshold. To achieve the scheduling scheme, we propose an efficient algorithm called EESASA. Simulation results show that EESASA can minimize the overall cost of control and processor energy while ensuring the safety of the control system and the timely completion of burst computing tasks. © 2024 IEEE.

关键词： Dynamic frequency scaling

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Unilateral payoff control is infeasible in network attack-defense interactions

Unilateral payoff control is infeasible in network attack-de...

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2024 china Automation Congress, CAC 2024

作者： Zhao, Kaiwen Xia, Yu Su, Qi Department of Automation Shanghai Jiao Tong University Shanghai200240 China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai200240 China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai200240 China

ISBN: (纸本)9798350368604

Network resilience generally refers to the ability of a network to maintain normal operation in the face of various failures and disturbances, which has many applications in social, financial, communication, and transportation systems. There is a large amount of research on designing strategies to disrupt the network from the perspective of attack and to protect the network from the defense standpoint. However, attacks and defenses in the real world often occur simultaneously and repeatedly. The study of network resilience should not be limited to the structural characteristics but should consider the functional characteristics of the network. We develop a general game-theoretic framework to study attack-defense repeated interactions on complex networks and examine the possibility of achieving precise control over the payoffs of attackers and defenders. Our findings reveal that neither the attacker nor the defender can unilaterally control their own payoff, the opponent’s payoff, or any linear combination thereof. This work highlights the limitations of unilateral payoff control in real-world interaction scenarios, a consideration often overlooked in numerous theoretical studies. © 2024 IEEE.

关键词： Economic and social effects

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Prediction of transmission spectrum from photonic energy band via autoencoder network

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IEEE Photonics Technology Letters 2025年第13期37卷 737-740页

作者： Mo, Wenqin Zhu, Yaling Yin, Yuanxing Dong, Kaifeng Jin, Fang Song, Junlei China University of Geosciences School of Automation Wuhan430074 China China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China China University of Geosciences Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan430074 China

Optical topological insulators, as an emerging type of photonic material, present substantial benefits for optical communication. The advanced pattern recognition capabilities of deep learning have propelled the inverse design of topological photonic structures into a hot area of research. However, existing methods encounter difficulties with the analysis of intricate band structures. Therefore, we construct a deep learning model capable of handling two-dimensional data of photonic energy band. Utilizing an autoencoder network, our model indirectly trains the photonic energy band and transmission spectrum, by converting them into feature coding. It integrates a transmission spectrum autoencoder and a photonic energy band autoencoder, processing energy band data to predict the corresponding transmission spectrum. The results indicate that compared to convolutional neural network (CNN), our model can accurately predict transmission spectrum, and perform better on both evaluation metrics of RMSE and R2. This work enhances prediction accuracy by leveraging energy band diagrams to constrain optical properties. © 1989-2012 IEEE.

关键词： Topological insulators

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